Load dataset with all ta features

Timeseries feature extraction and selection

Will add time related features and select only important

tsfresh require id column

Check time relation

Check depenence of trading and price from date in year and time of day

Firstly define function for display frequiency

Frequency of price

Frequence of price change

Frequency of transaction volume

Frequence of transaction volume change

Compare train and test datasets

Training data exploration

Testing data exploration

Normalise data

Will use only training mean and deviation for not give NN access to test dataset

Divide by the max-min deviation

maximum for training to litle, and not will allow correctly predict values in testing dataset, will use manually choosed value for maximum 100 thouthands dollars except of volume